摘要
地震是一种危害很大的地质灾害,研究地震点的空间分布模式及发生规律已成为一个重要课题。本文在样方分析原理与显著性检验方法的基础上,选择河南省作为实验区,以2008年1月至2016年1月期间地震台监测数据作为实验数据,研究小微地震点的空间分布模式。以理论上的泊松随机分布统计结果为比较对象,对实验区小微地震点进行样方统计分析,K-S显著性检验结果显示:实验区小微地震点不是空间随机分布。结合样方统计数据和地质资料分析,河南省小微地震点的空间分布模式为聚集分布,且主要集中于豫北地区。实验结果表明,样方分析法不仅能够比较准确地判断出地震点的空间分布模式,帮助人们较快地识别出地震发生的热点区域,还可为分析热点区域地震成因和预报大地震提供支持。
Earthquake is a kind of geological disaster which has great harm and influence. The study on the spatial distribution pattern and the law of the earthquake spot has become a problem that cannot be ignored. Based on the principle of quadrat analysis and significant test method,this paper chooses Henan Province as the experimentation area,an earthquake monitoring station data from January2008 to January 2016 as experimental data,research micro seismic spatial distribution pattern. The poisson random distribution statistical theory results as the comparison object,we sampled the statistical analysis of the small earthquake at the experimentation area,KS significant test results show the small and micro earthquake is not randomly distributed. Combining with the analysis sample statistic data and geological data,Henan Province small and micro seismic spatial distribution pattern was aggregated distribution and mainly concentrated in the north area of Henan Province. The experimental results show that the quadrat analysis method can not only accurately judge earthquake spatial distribution patterns,help people quickly identify earthquake hot region,can also provide support for the analysis of the seismic origin of hot spots and predicting great earthquakes.
作者
张瑞芳
黄泽纯
洪安东
张倩宁
ZHANG Ruifang;HUANG Zechun;HONG Andong;ZHANG Qianning(Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;State-Province Joint Engineering Laboratory in Spatial Information Technology for High-speed Railway Safety, Southwest Jiaotong University, Chengdu 611756, China;Collaborative Innovation Center of Railway Traffic Safety, Southwest Jiaotong University, Chengdu 611756, China)
出处
《测绘与空间地理信息》
2018年第6期21-24,共4页
Geomatics & Spatial Information Technology
基金
中央高校基本科研业务费专项资金(2682014CX017)
长江学者和创新团队发展计划(IRT13092)资助
关键词
小微地震
空间分布模式
样方分析
显著性检验
空间统计
small earthquakes
spatial distribution pattern
quadrat analysis
significant test
spatial statistics
